Where to find fantastic eats?

Photo from: Yelp

It is hard for anyone to find a good restaurant, no matter if they stay in the same place for a long time or just move in like us. When people do not know where to eat, rating apps such as yelp would be a key resource for people to use. However, it led to an interesting question to us: what factors could correlate with rates or stars.

To answer the questions, we studied open data of Restaurants in Southeastern Pennsylvania from Yelp open dataset (data source).
7,801 Restaurants 227 cities 6 counties

Where are the Restaurants

Upon data analysis, we condensed the restaurants information across different locations and categories in the Southeastern Pennsylvania, analyzing the distribution of restaurants in the Pennsylvania.

Restaurant Around Southeastern PA

The map shows that most restaurants in Southeastern Pennsylvania are clustered around Philadelphia, reflecting its status as a densely populated urban center. The majority of ratings are green, indicating an average star rating around 4. Suburban counties like Montgomery and Bucks also have notable restaurant density, but their distribution is more spread out compared to the concentrated clusters in Philadelphia.

ggplot() +
  geom_sf(data = pa_counties, color = "black", fill = "lightgrey", size = 0.8) + 
  geom_point(
    data = mergedPA,
    aes(x = longitude, y = latitude, color = stars),
    size = 0.5, alpha = 0.5
  ) +  
  geom_sf_text(
    data = pa_counties,
    aes(label = NAME),
    size = 3, color = "black", fontface = "bold"
  ) +  
  coord_sf(xlim = c(-76, -74.5), ylim = c(39.7, 40.5), expand = FALSE) + 
  theme_void(base_size = 15) +
  theme(
    legend.position = "bottom",
    plot.title = element_text(hjust = 0.5, size = 16)
  ) +
  guides(color = guide_colorbar(
    title.position = "top",
    barwidth = 15,
    barheight = 0.5
  )) +
  scale_color_viridis_c(option = "D", name = "Stars") + 
  labs(
    title = "Restaurant Ratings in Southeastern Pennsylvania (By County)",
    color = "Stars"
  )

Read Regional Analyzation here.

Rating-Associated Factors

We made an in-depth Exploratory Analysis about restaurant rating, and at last we identified the indicators of rating and constructed the model for predicting the restaurants ratings.

Match for Special Needs

Try our App to get your ideal restaurant in PA !

Report

Browse our report for key insights from our analysis!

Creators

  • Yutong Chen (yc4617)
  • Tingcheng Pan (tp2859)
  • Shiying Wu (sw3455)
  • Yifan Xu (yx2857)

Project Overview

Click on the video below to learn more about the features of this site and enjoy a summary of our key highlights!

For more informartion about yelp.data and some nice restaurant, check out https://www.yelp.com/dataset